The phrase "adjustment rules" is correct and usable in written English.
It can be used in contexts where guidelines or criteria for making changes or modifications are being discussed.
Example: "The adjustment rules for the budget must be followed to ensure compliance with the new financial regulations."
Alternatives: "modification guidelines" or "alteration criteria".
Then, a two-stage support vector machine (SVM) approach is proposed to generate two models, including a linear SVM model with controllable features provides preventive adjustment rules, and a more accurate SVM model to approximate the actual security region.
The third designed controller is implemented according to Model Reference Adaptive Controller with Fractional Order Adjustment Rules (FOAR-MRAC) which is a combination of FOPDD controller tuned by PSO algorithm and an adaptive time variable gain.
All of the adjustment rules are listed in Table 10.
Table 10 The Adjustment Rules of the Text Spans in the BioCreative IV CHEMDNER competition.
Corporatist coordination is said to be superior to mechanical adjustment rules because the latter cannot take all contingencies into account.
One tries some values and picks a certain value with satisfactory performance; the other applies self-adaptive adjustment rules with an arbitrary initial guess but requires expensive computation.
In this paper an adaptive scheme is proposed which combines a model reference approach and a fractional order adjustment rule for a feedforward gain adjustment.
Based on the proposed model, some interesting characteristics of the considered algorithm are verified, ratifying the robustness of the step-size adjustment rule against uncorrelated measurement noise.
Two parameters can be tuned to obtain robustness against speed and magnitude of the reference signal variations: adaptation gain, and derivative order of the adjustment rule.
In addition, the impact of the smoothing parameter (used in the step-size adjustment rule) on the algorithm performance is discussed, aiming to provide some useful design guidelines.
Each solution in Harmony Memory (HM) is generated on the basis of memory consideration rule, a pitch adjustment rule and a re-initialization process which gives the optimum result corresponding to the least error fitness in multidimensional search space.
